QwertyJobs.com · Research Centre
First edition · Q2 2026

Labour
market barometer
2026

How companies and recruitment agencies see recruitment, employment, productivity, retention and the impact of AI. A report designed as a clear picture of market signals, not a collection of tables.

SURVEY APRIL · MAY · JUNE 2026 - POLAND
55.6% recruitment
is harder
69.0% of organisations are recruiting now
66.5% have no more than 25% well-matched applications
39.3% of employers plan employment growth
01 / MARKET SNAPSHOT
Key signals

An employers' market in which good matches are still hard to find.

Among the 471 organisations in the study, 59.0% describe the market as favouring employers, yet 55.6% say recruitment has become harder. In this sample the two signals appear together rather than cancelling each other out.

59.0%
Market favours employers
rather or definitely
55.6%
Recruitment is harder
than before
74.5%
Visible market polarisation
many CVs, few good matches
42.0%
Candidate quality declined
slightly or clearly
Interpretation
Many applications, few right answers.

74.5% of respondents recognise a polarised market with many CVs but few good matches, and 66.5% report that no more than a quarter of applications are well matched. At the same time, 42.0% see a decline in candidate quality. "Many applications, but the wrong people" is also the most common description of the staffing situation. Taken together, these signals point to matching, rather than the volume of applications, as the main pressure point in this sample.

Assessment of the labour market

n=471 · single-choice answers

MARKET
rather_employer_market
n=189
40.1%
balanced
n=107
22.7%
definitely_employer_market
n=89
18.9%
rather_employee_market
n=58
12.3%
definitely_employee_market
n=28
5.9%
02 / RECRUITMENT
Where the process breaks

Recruitment breaks at the point of fit.

Lack of skills and irrelevant applications are the most frequently cited reasons for recruitment difficulties, and poor matching is the most common complaint about recruitment channels. Technical specialists top the list of the hardest roles to fill. All charts in this section are multiple choice, so percentages add up to more than 100%.

Hardest roles to recruit

Share of responses · multiple choice

TOP ROLES
technical_specialists
n=253
53.7%
it_data_ai
n=223
47.3%
production_physical
n=208
44.2%
sales
n=164
34.8%
entry_level
n=43
9.1%
other
n=41
8.7%

Why recruitment is difficult

Share of responses · multiple choice

BARRIERS
lack_of_skills
n=306
65%
irrelevant_applications
n=269
57.1%
salary_expectations
n=259
55%
strong_competition
n=166
35.2%
too_few_candidates
n=45
9.6%
location
n=41
8.7%

What does not work in recruitment channels

Share of responses · multiple choice

CHANNELS
low_quality_mismatch
n=334
70.9%
too_expensive
n=291
61.8%
weak_effects
n=240
51%
too_time_consuming
n=179
38%
too_few_applications
n=52
11%
no_access_to_right_people
n=41
8.7%

Which skills are missing

Share of responses · multiple choice

SKILLS
hard_industry_skills
n=261
55.4%
communication_cooperation
n=235
49.9%
independence_responsibility
n=223
47.3%
digital_it
n=157
33.3%
ai_data
n=140
29.7%
learning_readiness
n=39
8.3%
03 / EMPLOYERS
Employment, budgets and retention

Employers are holding steady rather than expanding.

39.3% of employers plan to increase headcount and 22.7% plan to reduce it, while keeping employment unchanged is the most common single answer. 32.8% report a lower recruitment budget. Process organisation is the most often cited barrier to productivity, and pay is the most often cited retention risk.

Employment plans

Employers · n=366

366 employers
no_change 38%
slight_growth 29.8%
slight_reduction 16.9%
significant_growth 9.6%
significant_reduction 5.7%

Change in recruitment budget

Employers · n=366

BUDGET
no_change
n=122
33.3%
slight_decline
n=85
23.2%
no_separate_budget
n=49
13.4%
slight_growth
n=38
10.4%
significant_decline
n=35
9.6%
hard_to_say
n=24
6.6%
significant_growth
n=13
3.6%
39.3%
of employers plan employment growth

More employers plan growth than reductions.

At the same time, 37.7% of employers report workforce reductions in the last quarter and 22.7% expect to reduce employment. Growth plans and cuts appear side by side in the same group of companies, so the picture is one of selective hiring rather than broad expansion.

Barriers to productivity

Employers · multiple choice

PRODUCTIVITY
processes_organization
n=227
62%
skill_gaps
n=172
47%
team_overload
n=171
46.7%
engagement_motivation
n=155
42.3%
tools_technology
n=45
12.3%
turnover
n=40
10.9%

Biggest retention risks

Employers · multiple choice

RETENTION
salary
n=246
67.2%
burnout_overload
n=217
59.3%
lack_of_development
n=174
47.5%
atmosphere_management
n=155
42.3%
lack_of_flexibility
n=50
13.7%
competitor_offers
n=40
10.9%
04 / ARTIFICIAL INTELLIGENCE
Technology and productivity

AI is widespread, but mostly still at the testing stage.

83.4% of all respondents use or test AI, with testing the most common stage. 48.2% expect AI to reduce the number of jobs. Among employers, higher productivity is reported more often by organisations using AI in several areas or widely than by those only testing it or not using it at all. This is a co-occurrence, not evidence that AI itself raises productivity, and the group using AI widely is small enough to call for cautious interpretation.

How widely organisations use AI

All respondents · n=471

83.4% use or test AI
testing 38.6%
several_areas 30.1%
not_at_all 16.6%
widely_daily 14.6%

How AI will affect the number of jobs

All respondents · n=471

48.2% expect fewer jobs
decrease 48.2%
no_change 25.1%
hard_to_say 16.6%
increase 10.2%

Where AI helps most

Only organisations using AI · n=393

USE CASES
marketing_content
n=228
58%
administration_processes
n=207
52.7%
data_analysis
n=204
51.9%
recruitment
n=149
37.9%
programming_it
n=119
30.3%
other
n=39
9.9%

Higher productivity by level of AI use

Employers · share reporting higher productivity

BREAKDOWN
testing
n=139
25.9%
several_areas
n=107
61.7%
not_at_all
n=66
18.2%
widely_daily
n=54
59.3%
05 / AGENCIES, RPO, HEADHUNTERS
External perspective

Agencies see clients hesitating before they hire.

Among 103 agencies, RPO providers and headhunters, 71.8% see clients becoming more cautious when hiring, 57.3% see more frequent freezes or delays and 54.4% report lower external recruitment budgets. Budget is the most frequently cited blocker of client decisions, ahead of salary expectations and long decision processes.

Three indicators of pressure on the client side

57.3% see more frequent recruitment freezes or delays
71.8% see greater client caution when hiring
54.4% see lower external recruitment budgets

What blocks client decisions

Agencies / RPO / headhunters · multiple choice

n=103
budget
n=75
72.8%
salary_expectations
n=61
59.2%
long_decision_process
n=55
53.4%
economic_uncertainty
n=34
33%
changing_priorities
n=12
11.7%
unclear_role_requirements
n=8
7.8%

Are clients freezing recruitment?

Agencies / RPO / headhunters

CLIENTS
rather_yes
n=36
35%
no_major_change
n=26
25.2%
definitely_yes
n=23
22.3%
rather_no
n=9
8.7%
hard_to_say
n=7
6.8%
definitely_no
n=2
1.9%

Change in client recruitment budgets

Agencies / RPO / headhunters

BUDGETS
slight_decline
n=39
37.9%
no_change
n=26
25.2%
significant_decline
n=17
16.5%
hard_to_say
n=12
11.7%
slight_growth
n=5
4.9%
significant_growth
n=4
3.9%
06 / BREAKDOWNS
Where the real value of the report begins

Where segments differ, and where they do not.

Among company sizes with sufficient samples, active AI use and perceived recruitment difficulty stay at broadly similar levels, with only modest differences between segments; the largest company-size group is exploratory only. Growth in turnover is reported less often by organisations working mainly in a hybrid model than by onsite ones, while the remote group is too small for more than an exploratory reading. Industry results sit at the technical minimum or just above it and are directional only. All of these are co-occurrences, not causal effects.

Active AI use / testing

By company size · n shown for every segment

COMPANY SIZE
10_49
n=146
79.5%
50_249
n=96
86.5%
1_9
n=92
79.3%
250_499
n=20
85%

Recruitment has become harder

By company size

COMPANY SIZE
10_49
n=146
56.2%
50_249
n=96
58.3%
1_9
n=92
52.2%
250_499
n=20
65%

Growth in employee turnover

By dominant work model

WORK MODEL
onsite
n=160
37.5%
varies_by_role
n=92
39.1%
hybrid
n=90
30%
remote
n=24
37.5%

Companies planning employment growth

Only industries with n ≥ 30

INDUSTRIES
production
n=51
33.3%
it_tech
n=42
40.5%
business_services
n=40
47.5%
commerce_ecommerce
n=37
37.8%
transport_logistics
n=37
32.4%
construction
n=32
37.5%
The industry ranking includes only segments with n ≥ 30. Results for n=30–49 are directional and should not be presented as a hard ranking of the entire labour market.
07 / RECRUITMENT PRACTICES
Transparency and ghost jobs

Salary ranges are common, but not yet the norm.

The most frequent answer is that salary ranges appear in most job ads, while publishing them in all or almost all ads remains a minority practice. On ghost jobs, the single most common answer is no such experience, yet a substantial share of respondents report at least one encounter.

How often salary ranges are shown

All respondents · n=471

TRANSPARENCY
majority
n=144
30.6%
all_or_almost_all
n=112
23.8%
about_half
n=89
18.9%
minority
n=69
14.6%
none_or_almost_none
n=36
7.6%
hard_to_say
n=21
4.5%

Experience with ghost jobs

All respondents · n=471

PRACTICES
no
n=208
44.2%
few_times
n=96
20.4%
once
n=57
12.1%
many_times
n=57
12.1%
no_access
n=53
11.3%
08 / METHODOLOGY
How to read the report

A description of the surveyed group, not a claim of representativeness for the whole market.

This section explains the sample size and structure, the study period, the rules used to assess individual segments and the limitations that should be considered when interpreting the results.

471 responses in the study
366 employers
103 agencies / RPO / headhunters
Q2 2026 reference period: April–June 2026
2026-07-16–2026-09-30 data collection period

Publication principle: results describe the organisations participating in the study. The sample should not automatically be treated as representative of all companies operating in Poland.

Segments: n<15 without percentages; 15–29 exploratory; 30–49 technical minimum; 50–99 cautious publication; 100+ standard descriptive comparison.

Multiple-choice questions: percentages may add up to more than 100%.

Staffing situation

For logged-in users only

Is the organisation recruiting?

For logged-in users only

Time to hire

For logged-in users only

Application matching

For logged-in users only

Change in candidate quality

For logged-in users only

Most important recruitment value

For logged-in users only

Recruitment channels

For logged-in users only

CV and skills mismatch

For logged-in users only

Economic impact on decisions

For logged-in users only

Salary change

For logged-in users only

Productivity change

For logged-in users only

Employee turnover change

For logged-in users only

Workforce reductions

For logged-in users only

Work model change

For logged-in users only

09 / STUDY SCALE AND NEXT EDITION
The results in the context of the Polish market

471 responses provide a detailed picture of the surveyed group.

The scale of the study should be assessed together with the number of invited organisations, the response rate and the structure of active enterprises in Poland.

30,000+ organisations invited to participate
471 completed responses included in the report
<1.57% response rate among invited organisations
2,896,481 active enterprises in Poland in the second quarter of 2026
2,779,281 active microenterprises in Poland in the second quarter of 2026
96.0% share of microenterprises among active enterprises
STUDY SCALE

471 responses against the scale of the market.

More than 30,000 organisations were invited to participate in the study. The report includes 471 completed responses, which means that fewer than 1.57% of invited organisations completed the questionnaire.

Compared with the 2,896,481 active enterprises operating in Poland in the second quarter of 2026, the collected responses correspond to approximately 0.0163% of that number.

Scale comparison: the study collected approximately one response for every 6,150 active enterprises in Poland.
MARKET STRUCTURE

The Polish market is dominated by microenterprises.

According to Statistics Poland, there were 2,896,481 active enterprises in Poland in the second quarter of 2026. Of these, 2,779,281 were microenterprises employing up to nine people.

Microenterprises accounted for 96% of all active enterprises. The survey also included larger employers, recruitment agencies, temporary employment agencies, RPO teams and headhunters. Its structure therefore differs from the structure of the entire population of active enterprises.

Interpretation: the results describe the organisations participating in the study. They should not be extrapolated to all enterprises operating in Poland.
STATISTICAL MEANING OF THE SAMPLE

What does a sample of 471 responses mean?

A sample of 471 responses provides a solid basis for describing the surveyed group and presenting its overall results. In the standard statistical benchmark used for randomly selected samples, this sample size corresponds to a maximum margin of error of approximately ±4.5 percentage points at a 95% confidence level.

For example, a result of 50% in a random and representative sample of this size would correspond to an approximate range from 45.5% to 54.5%. Results calculated for smaller segments are less precise: approximately ±9.8 percentage points for n=100, ±13.9 points for n=50 and ±17.9 points for n=30.

The ±4.5 percentage-point value is presented only as a statistical reference point. It is not the formal margin of error of this study. Participation was voluntary, respondents were not selected through probability sampling and the results were not weighted to reproduce the structure of all active enterprises in Poland.

The 471 responses therefore provide a reliable description of the participating organisations and allow broad comparisons between sufficiently large segments. They do not provide a basis for directly extrapolating every result to all enterprises operating in Poland.

How to read segment results: results based on several hundred responses can be treated as the strongest descriptive findings in the report. Results for segments with approximately 100 responses should be interpreted with caution, while results for segments below 50 responses should be treated primarily as exploratory signals.
NEXT EDITION · Q3 2026

The next study will launch in October 2026.

The next edition will cover July, August and September 2026. We invite employers, recruitment agencies, temporary employment agencies, RPO teams and headhunters to participate. Increasing the number and diversity of responses will allow more detailed comparisons between industries, company sizes and recruitment models.

JUL — SEP

Market data source: Statistics Poland, Active enterprises in the second quarter of 2026, published on 10 September 2026.

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